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Visualization Charts

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Book cover Network Data Analytics

Part of the book series: Computer Communications and Networks ((CCN))

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Abstract

Data visualization consists of different steps like understanding data and identifying the right chart type. Data visualization involves the main step of identifying the right chart type. The visualization charts can be categorized into four main types namely relationship charts , comparison charts , composition charts, and distribution charts. These charts are used for different purposes depending on the application. Comparison charts are used to explore the different variables in the dataset and identify the differences between them. Relationship charts and composition charts are used to see the proportion of the values scattered over the dataset. Distribution charts are used to identify the underlying distribution of the data. In this chapter, the different types of charts and its visualization with examples in Python are discussed.

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References

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Authors and Affiliations

  1. Department of Information Technology, Ch. Brahm Prakash Government Engineering College, Jaffarpur, Delhi, India

    K. G. Srinivasa

  2. Department of Computer Science and Engineering, Ramaiah Institute of Technology, Bangalore, Karnataka, India

    Siddesh G. M.

  3. Department of Computer Science and Engineering, Ramaiah Institute of Technology, Bangalore, Karnataka, India

    Srinidhi H.

Authors
  1. K. G. Srinivasa
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  2. Siddesh G. M.
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  3. Srinidhi H.
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Corresponding author

Correspondence to K. G. Srinivasa .

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Cite this chapter

Srinivasa, K.G., G. M., S., H., S. (2018). Visualization Charts. In: Network Data Analytics. Computer Communications and Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-77800-6_18

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  • DOI: https://doi.org/10.1007/978-3-319-77800-6_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-77799-3

  • Online ISBN: 978-3-319-77800-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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